Triple
T19507482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maasheggen landscape |
E488060
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Gennep |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gennep | Statement: [Maasheggen landscape, locatedNear, Gennep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gennep Context triple: [Maasheggen landscape, locatedNear, Gennep]
-
A.
Gennep
chosen
Gennep is a small historic town in the Dutch province of Limburg, known for its medieval center and location near the confluence of the Maas and Niers rivers.
-
B.
Erwitte
Erwitte is a small town in the German state of North Rhine-Westphalia, known for its historic architecture and location in the Soest district.
-
C.
Saasveld
Saasveld is a small village in the Dutch province of Overijssel, known for its rural character and historic church.
-
D.
Viljoen
Viljoen is an Afrikaans-origin surname commonly found in South Africa and Namibia, associated with several notable figures in politics, sports, and the military.
-
E.
Zutendaal
Zutendaal is a small municipality in the Belgian province of Limburg, known for its forests, nature reserves, and role as a gateway to the Hoge Kempen National Park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635130e708190bb3d70e1abbade2a |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.